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What a Comprehensive, Integrated Data Strategy Looks Like: The Population Level Analysis and Reporting (POLAR)
Christopher Pearce1,2, Adam McLeod1, Natalie Rinehart1
1Outcome Health, East Burwood, Victoria, Australia.
Studies in Health Technology and Informatics
|August 24, 2019
Summary
Australia
Area of Science:
- Health Informatics
- Public Health Data
- Electronic Medical Records
Background:
- General Practice (GP) in Australia serves as the primary entry point to the healthcare system.
- Most Australians utilize electronic medical records (EMRs) within general practice.
- This creates a large, distributed database of population health information.
Purpose of the Study:
- To describe the Population Level Analysis and Reporting program.
- To explain the repurposing of general practice EMR data for various applications.
- To highlight the importance of data coding and structuring for diverse uses.
Main Methods:
- Leveraging a system-wide data strategy.
- Extracting data from distributed general practice electronic medical records.
- Implementing coding and structuring protocols for data repurposing.
Main Results:
- The Population Level Analysis and Reporting program effectively extracts and repurposes GP EMR data.
- Structured data enables multiple applications including clinical care, governance, research, and policy.
- A comprehensive data strategy underpins the program's success.
Conclusions:
- General practice EMRs represent a valuable, large-scale population health data resource in Australia.
- The Population Level Analysis and Reporting program demonstrates a successful model for data utilization.
- Standardized data coding and structuring are crucial for maximizing the utility of EMR data across healthcare sectors.
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